Binance Accelerator Program - Search & Recommendation Data scientist

Binance; Hong Kong; On-site; HKD 274,509 - 392,157; Full time

Benefits offered by this job

Competitive salary and company benefits

Work-from-home arrangement

Opportunities for career growth

Job summary

Binance is offering a fixed-term accelerated program for university students and recent graduates looking to delve into the Web3 space. Interns will assist senior engineers, applying machine learning methods to enhance content services. The program promotes networking and skill development, providing a robust foundation within the blockchain ecosystem.

The ideal candidate is pursuing a degree in Machine Learning, Data Science, or similar fields, possesses strong programming skills, and has a passion for personal and professional growth.

Qualifications

• Proficient in Python and familiar with one mainstream machine learning framework.
• Basic proficiency in SQL for large-scale data support.
• Clear logical thinking and strong quick-learning ability.

Responsibilities

• Assist in design and maintenance of search and recommendation services.
• Support optimization of content matching accuracy using personalized methods.
• Collaborate with teams to identify needs in content scenarios.

Skills

Python

Machine Learning

SQL

Data Science

Cross-team communication

Education

Currently pursuing a Bachelor's, Master's or PhD degree in relevant fields

Tools

Machine Learning frameworks

Job description

About Binance Accelerator Program

Binance Accelerator Program is a concise fixed-term program designed for early‑career talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the world's leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career.

Learn about BAP Program HERE.

Who may apply

Current university students and recent graduates.

Responsibilities

• Assist senior algorithm engineers in the design and daily maintenance of search and recommendation services and models in content scenarios, support the content team and empower the development and iteration of the content ecosystem.
• Support the optimization of content matching accuracy and distribution efficiency by applying machine learning‑based personalization methods, common design patterns and tools, and participate in basic model tuning and effect verification.
• Learn and understand the core logic of recommendation systems in the content domain, assist in the iteration of AI products to improve user content experience and core business metrics.
• Participate in the auxiliary development and implementation of core content recommendation modules, assist in implementing data‑driven strategies to maximize content value and user engagement.
• Collaborate with content, business and product teams to identify needs and opportunities in content scenarios, and assist the team in defining core success metrics.

Qualifications

• Currently pursuing a Bachelor's, Master's or PhD degree in Machine Learning, Computer Vision, Computer Science, Applied Mathematics, Data Science or related disciplines.
• Solid programming foundation, proficient in Python, familiar with at least one mainstream machine learning framework, and grasp basic machine learning algorithm theories.
• Basic understanding of search and recommendation system fundamentals; relevant coursework, competition experience or campus project experience is preferred.
• Basic proficiency in SQL for large‑scale data cleaning and feature engineering support, with strong hands‑on ability.
• Clear logical thinking, strong quick‑learning ability, excellent cross‑team communication skills, able to commit to at least 6 months full‑time internship.
• Preferred Qualifications: Publication record or submission at top‑tier conferences/journals, relevant internship experience in search & recommendation, experience in content‑related recommendation system projects.

Benefits

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world‑class talent in a user‑centric global organization with a flat structure
• Tackle unique, fast‑paced projects with autonomy in an innovative environment
• Thrive in a results‑driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work‑from‑home arrangement (may vary depending on the work nature of the business team)

Equal Opportunity Employer

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.